Making the most of sparse clinical data by using a predictive-model-based analysis, illustrated with a stavudine pharmacokinetic study

European Journal of Pharmaceutical Sciences

Volumn 12, Issue 4, 2001, Pages 377-385

  Zhang, Liping ^a,b   Price, Richard ^b   Aweeka, Francesca ^a   Bellibas, S Eralp ^c   Sheiner, Lewis B ^a,b,d  

^a UCSF Medical Center and Associate Clinical UCSF School of Pharmacy   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c HOFFMANN LA ROCHE INC   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

AUC ratio; Causal model; CSF; CSF:plasma partition; Empirical model; Predictive model; Stavudine

Indexed keywords

STAVUDINE;

AREA UNDER THE CURVE; ARTICLE; DATA ANALYSIS; DRUG CEREBROSPINAL FLUID LEVEL; DRUG DISTRIBUTION; DRUG PENETRATION; KINETICS; MEAN RESIDENCE TIME; MODEL; PHARMACOKINETICS; PREDICTION; PRIORITY JOURNAL;

ANTI-HIV AGENTS; AREA UNDER CURVE; FORECASTING; HUMANS; MODELS, BIOLOGICAL; SAMPLE SIZE; STAVUDINE;

EID: 0035104849     PISSN: 09280987     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0928-0987(00)00158-5     Document Type: Article

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